Demographics details for Virginia beach, VA vs Flemington, NJ

Population Overview

Compare main population characteristics in Virginia beach, VA vs Flemington, NJ.

Data Virginia beach Flemington
Population 455,618 4,906
Median Age 37.1 years 32.4 years
Median Income $87,544 $85,306
Married Families 42.0% 41.0%
Poverty Level 10% 5%
Unemployment Rate 2.8 3.5

Population Comparison: Virginia beach vs Flemington

  • In Virginia beach, the population is higher at 455,618, compared to 4,906 in Flemington.
  • Residents in Virginia beach have a higher median age of 37.1 years compared to 32.4 years in Flemington.
  • Virginia beach has a higher median income of $87,544 compared to $85,306 in Flemington.
  • A higher percentage of married families is found in Virginia beach at 42.0% compared to 41.0% in Flemington.
  • Virginia beach has a higher poverty level at 10% compared to 5% in Flemington.
  • Flemington has a higher unemployment rate at 3.5% compared to 2.8% in Virginia beach.

Demographics

Demographics Virginia beach vs Flemington provide insight into the diversity of the communities to compare.

Demographic Virginia beach Flemington
Black 19 6
White 56 58
Asian 7 5
Hispanic 9 25
Two or More Races 9 6
American Indian Data is updating Data is updating

Demographics Comparison: Virginia beach vs Flemington

  • A higher percentage of Black residents are in Virginia beach at 19% compared to 6% in Flemington.
  • The percentage of White residents is higher in Flemington at 58% compared to 56% in Virginia beach.
  • The Asian population is larger in Virginia beach at 7% compared to 5% in Flemington.
  • Flemington has a higher percentage of Hispanic residents at 25%, compared to 9% in Virginia beach.
  • More residents identify as two or more races in Virginia beach at 9% compared to 6% in Flemington.
  • The percentage of American Indian residents is the same in both Virginia beach and Flemington at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Virginia beach Flemington
Mental Health Not Good 14.5% 17.2%
Physical Health Not Good 9.3% 13.4%
Depression 20.4% 23.8%
Smoking 13.7% 18.6%
Binge Drinking 16.8% 16.8%
Obesity 31.5% 34.8%
Disability Percentage 11.0% 9.0%

Health Statistics Comparison: Virginia beach vs Flemington

  • In Flemington, a higher percentage report poor mental health at 17.2% compared to 14.5% in Virginia beach.
  • Higher depression rates are seen in Flemington at 23.8% versus 20.4% in Virginia beach.
  • Flemington has a higher smoking rate at 18.6% compared to 13.7% in Virginia beach.
  • Binge drinking rates are similar in both Virginia beach and Flemington at 16.8%.
  • Flemington has higher obesity rates at 34.8% compared to 31.5% in Virginia beach.
  • Disability percentages are higher in Virginia beach at 11.0% compared to 9.0% in Flemington.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Virginia beach Flemington
No Schooling 0.6% (2,931) 2.6% (128)
High School Diploma 11.8% (53,968) 16.8% (825)
Less than High School 6.0% (27,564) 23.5% (1,155)
Bachelor's Degree and Higher 27.6% (125,790) 22.8% (1,117)

Education Levels Comparison: Virginia beach vs Flemington

  • In Flemington, a larger percentage of residents lack formal schooling at 2.6% compared to 0.6% in Virginia beach.
  • In Flemington, the rate of residents with high school diplomas is higher at 16.8% compared to 11.8% in Virginia beach.
  • The percentage of residents with less than a high school education is higher in Flemington at 23.5%, compared to 6.0% in Virginia beach.
  • A higher percentage of residents in Virginia beach hold a bachelor's degree or higher at 27.6% compared to 22.8% in Flemington.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.